Jaroslav Škrabal, Petra Chmielová, Kamila Turečková, J. Nevima
: In the current period marked by the need to address a number of economic and social challenges in the context of the sustainable development of towns and municipalities, the issue of the regeneration and reuse of brownfields is a topic that can help find an effective solution on the local, national and international level. The aim of this article is to assess the use of tools in the process of the regeneration of brownfields on the territory of municipalities with extended competence in the Czech Republic. The information contained in this paper was compiled on the basis of a primary survey. It was found that the highest number of abandoned buildings and premises are located in regions which were focused on industrial and mining activities in the past. Furthermore, the authors found that brownfield sites have been regenerated and reused successfully in the territory of the Czech Republic. Based on the relevant survey, the most frequently used financial tools employed by municipalities with extended competence (MEC) for the regeneration of brownfield sites in the last 10 years included municipality budgets, European subsidy programmes and national subsidy programmes. According to the survey, nonfinancial tools used for the successful regeneration of brownfields included own activities and support from the CzechInvest agency. The motives of municipalities and towns located in the territory of individual MECs in the relevant country included mainly a new use of buildings (the rescue of historical buildings/premises and unused industrial parts of a village/town) in the territory of the MEC. The results of the article also highlights the regional differences of the studied area in the case of the existence and use of various financial and non-financial instruments in the process of brownfield regeneration in individual MECs in the Czech Republic.
{"title":"APPLICABILITY OF TOOLS FOR BROWNFIELD REGENERATION IN THE CZECH REPUBLIC: A REGIONAL PERSPECTIVE","authors":"Jaroslav Škrabal, Petra Chmielová, Kamila Turečková, J. Nevima","doi":"10.21163/gt_2021.162.11","DOIUrl":"https://doi.org/10.21163/gt_2021.162.11","url":null,"abstract":": In the current period marked by the need to address a number of economic and social challenges in the context of the sustainable development of towns and municipalities, the issue of the regeneration and reuse of brownfields is a topic that can help find an effective solution on the local, national and international level. The aim of this article is to assess the use of tools in the process of the regeneration of brownfields on the territory of municipalities with extended competence in the Czech Republic. The information contained in this paper was compiled on the basis of a primary survey. It was found that the highest number of abandoned buildings and premises are located in regions which were focused on industrial and mining activities in the past. Furthermore, the authors found that brownfield sites have been regenerated and reused successfully in the territory of the Czech Republic. Based on the relevant survey, the most frequently used financial tools employed by municipalities with extended competence (MEC) for the regeneration of brownfield sites in the last 10 years included municipality budgets, European subsidy programmes and national subsidy programmes. According to the survey, nonfinancial tools used for the successful regeneration of brownfields included own activities and support from the CzechInvest agency. The motives of municipalities and towns located in the territory of individual MECs in the relevant country included mainly a new use of buildings (the rescue of historical buildings/premises and unused industrial parts of a village/town) in the territory of the MEC. The results of the article also highlights the regional differences of the studied area in the case of the existence and use of various financial and non-financial instruments in the process of brownfield regeneration in individual MECs in the Czech Republic.","PeriodicalId":45100,"journal":{"name":"Geographia Technica","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45489844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
: The number of river floods has increased worldwide, as well as in Nakorn Ratchasima Province in Thailand. To prevent disasters, the R oyal I rrigation D epartment (RID) constructed thirteen regulating structures to control discharges. Currently, the local controllers spatially control these structures to minimize the subsystem's damage, regardless of the effects on the overall system performance. In this study, the concept of combining real-time flood management tools and the cascade M odel P redictive C ontrol (MPC) as well as application of GIS has been proposed and verified with the 2013 flood event. The distributed control of the existing hydraulic structures on the large scale of the Lamtakong River made optimal use of the retention basin storage capacity with the considerations of both local performance and global system interactions. The model proposes an optimal gate opening of each cascade at the specified time, from the beginning until the end of flood hydrographs. The results of the controlled water level indicate the efficiency of the CMPC, which is more satisfied satisfactory than the PID and practice technique of RID, as evidenced by the water level of 0.5 m that is lower than the level of the riverbank at Nakhon Ratchasima City. A comparison of flood areas between the historical flood in year 2013 and Management by CASCADE MPC shows by GIS flood map that in the case of Management by CASCADE MPC, it can reduce the flood area in Nakhorn Ratchasima city by almost 60%.
{"title":"GEOGRAPHIC INFORMATION SYSTEM FOR FLOOD MANAGEMENT \u0000BY CASCADE MODEL PREDICTIVE CONTROL (MPC)","authors":"K. Klahan, S. Chittaladakorn, Sitang Pilailar","doi":"10.21163/gt_2021.162.10","DOIUrl":"https://doi.org/10.21163/gt_2021.162.10","url":null,"abstract":": The number of river floods has increased worldwide, as well as in Nakorn Ratchasima Province in Thailand. To prevent disasters, the R oyal I rrigation D epartment (RID) constructed thirteen regulating structures to control discharges. Currently, the local controllers spatially control these structures to minimize the subsystem's damage, regardless of the effects on the overall system performance. In this study, the concept of combining real-time flood management tools and the cascade M odel P redictive C ontrol (MPC) as well as application of GIS has been proposed and verified with the 2013 flood event. The distributed control of the existing hydraulic structures on the large scale of the Lamtakong River made optimal use of the retention basin storage capacity with the considerations of both local performance and global system interactions. The model proposes an optimal gate opening of each cascade at the specified time, from the beginning until the end of flood hydrographs. The results of the controlled water level indicate the efficiency of the CMPC, which is more satisfied satisfactory than the PID and practice technique of RID, as evidenced by the water level of 0.5 m that is lower than the level of the riverbank at Nakhon Ratchasima City. A comparison of flood areas between the historical flood in year 2013 and Management by CASCADE MPC shows by GIS flood map that in the case of Management by CASCADE MPC, it can reduce the flood area in Nakhorn Ratchasima city by almost 60%.","PeriodicalId":45100,"journal":{"name":"Geographia Technica","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2021-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45269905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
: Wildfire events are majeure natural risks occurring in multiple ecosystems worldwide, and lead to significant damages on their human, ecological and socioeconomic components. This research interested on evaluating and mapping the recent and exceptional wildfires occurred in the Aures Mounts System near Ain Mimoun in July 5, 2021. Multidates Sentinel 2 images, the differenced Normalized Burn Ratio dNBR and its Relativized dNBR (RdNBR) have been used for extract and evaluate the recently burned areas. Results reveal that he July 5 wildfires lead to the loss of 6,607 ha (9 %) of Aleppo pine forest cover and municipalities of Tamza and Chelia were more damaged, with respectively 4,143 and 2,166 ha of burned superficies. In addition to the high-vulnerability to fire risk occurrence, essentially due to topographic and morphological features, the study area exhibited also favoring climatic features before and during the fire event occurrence, high daily temperatures and high variable wind directions were prominent factors in accelerating the fire spreading and increasing the fire extent. This study concludes that Sentinel 2, dNBR and especially RdNBR are effective geo-informatic data and indices for assessing, classifying and mapping burn severity extent due to wildfire events. To attenuate damages, it is necessary to adopt risk mitigation plans based on efficient measures to be applied before, during and after the fire events occurrence.
{"title":"SENTINEL 2 IMAGERY AND BURN RATIOS FOR ASSESSING THE JULY 5, 2021 WILDFIRES SEVERITY IN THE REGION OF KHENCHELA (NORTHEAST ALGERIA)","authors":"N. Boulghobra","doi":"10.21163/gt_2021.162.08","DOIUrl":"https://doi.org/10.21163/gt_2021.162.08","url":null,"abstract":": Wildfire events are majeure natural risks occurring in multiple ecosystems worldwide, and lead to significant damages on their human, ecological and socioeconomic components. This research interested on evaluating and mapping the recent and exceptional wildfires occurred in the Aures Mounts System near Ain Mimoun in July 5, 2021. Multidates Sentinel 2 images, the differenced Normalized Burn Ratio dNBR and its Relativized dNBR (RdNBR) have been used for extract and evaluate the recently burned areas. Results reveal that he July 5 wildfires lead to the loss of 6,607 ha (9 %) of Aleppo pine forest cover and municipalities of Tamza and Chelia were more damaged, with respectively 4,143 and 2,166 ha of burned superficies. In addition to the high-vulnerability to fire risk occurrence, essentially due to topographic and morphological features, the study area exhibited also favoring climatic features before and during the fire event occurrence, high daily temperatures and high variable wind directions were prominent factors in accelerating the fire spreading and increasing the fire extent. This study concludes that Sentinel 2, dNBR and especially RdNBR are effective geo-informatic data and indices for assessing, classifying and mapping burn severity extent due to wildfire events. To attenuate damages, it is necessary to adopt risk mitigation plans based on efficient measures to be applied before, during and after the fire events occurrence.","PeriodicalId":45100,"journal":{"name":"Geographia Technica","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2021-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46266327","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
: Lai Chau is a typical mountainous province of Vietnam, with a natural area of 9068.78 km 2 , this is a province that frequently occurs flash floods. This paper presents the results of the application of Satellite images, combining the GIS - AHP - MCA integration method to create a zoning map and warn of flash floods in Lai Chau province. The results of this study indicate the analyses and appraisals over 6 primary factors that incite flash flood, including the characteristics of geomorphology, the properties of soils, the types of forests and fractional vegetation cover, the slope of local drainage basins, average annual rainfall and the river/stream density of the region. The zoning map showing flash flood potentials has determined that 33.55% (3042.5 km 2 ) of the area had an extremely high risk of flash flood occurrences, 44.42% of the area had a medium risk and 22.03% had a risk of flash flood at the low or very low level. Zoning map and flash flood warnings have great significance in preventing flash floods and minimizing damage in the study area.
{"title":"FLASH FLOOD HAZARD MAPPING USING SATELLITE IMAGES AND \u0000GIS INTEGRATION METHOD: A CASE STUDY OF LAI CHAU PROVINCE, VIETNAM","authors":"Q. Kieu","doi":"10.21163/gt_2021.162.09","DOIUrl":"https://doi.org/10.21163/gt_2021.162.09","url":null,"abstract":": Lai Chau is a typical mountainous province of Vietnam, with a natural area of 9068.78 km 2 , this is a province that frequently occurs flash floods. This paper presents the results of the application of Satellite images, combining the GIS - AHP - MCA integration method to create a zoning map and warn of flash floods in Lai Chau province. The results of this study indicate the analyses and appraisals over 6 primary factors that incite flash flood, including the characteristics of geomorphology, the properties of soils, the types of forests and fractional vegetation cover, the slope of local drainage basins, average annual rainfall and the river/stream density of the region. The zoning map showing flash flood potentials has determined that 33.55% (3042.5 km 2 ) of the area had an extremely high risk of flash flood occurrences, 44.42% of the area had a medium risk and 22.03% had a risk of flash flood at the low or very low level. Zoning map and flash flood warnings have great significance in preventing flash floods and minimizing damage in the study area.","PeriodicalId":45100,"journal":{"name":"Geographia Technica","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2021-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49251567","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Flood represents a temporary cover of water that submerges land, usually not covered by water, which is caused by water overflowing the watercourses. The floods that occur in the area of Zenica-Doboj Canton in Bosnia and Herzegovina cause massive damage to agriculture, housing, equipment and civil engineering facilities and can be characterized as hazards. The hydrographic backbone of this Canton is the river Bosna, and the subject of research in this paper is the flood vulnerability in Zenica-Doboj Canton. The result of the work is the production of flood hazard and risk maps using GIS. Geographic Information System (GIS)-based spatial analysis and visual elements have been used frequently in recent years for detection of flood hazard areas and preparation of maps. GIS applications are based on a database and analysis tools which have logical and mathematical relationships between the layers. When creating the flood hazard map, in addition to GIS tools, Hec-RAS was also used as a program intended for the analysis of hydraulic calculations. The results of this paper are of great importance for spatial planning and environmental protection, starting with local communities, municipalities and the entire Canton. Key-words: Spatial analysis, the Bosnia River, Flood risk, GIS, Physical geography
{"title":"APPLICATION OF GIS IN THE ASSESSMENT OF FLOOD RISK IN THE REGION ZENICA - DOBOJ CANTON","authors":"A. Korjenić, Edin Hrelja, Amina Sivac, Amra Banda","doi":"10.21163/gt_2021.162.07","DOIUrl":"https://doi.org/10.21163/gt_2021.162.07","url":null,"abstract":"Flood represents a temporary cover of water that submerges land, usually not covered by water, which is caused by water overflowing the watercourses. The floods that occur in the area of Zenica-Doboj Canton in Bosnia and Herzegovina cause massive damage to agriculture, housing, equipment and civil engineering facilities and can be characterized as hazards. The hydrographic backbone of this Canton is the river Bosna, and the subject of research in this paper is the flood vulnerability in Zenica-Doboj Canton. The result of the work is the production of flood hazard and risk maps using GIS. Geographic Information System (GIS)-based spatial analysis and visual elements have been used frequently in recent years for detection of flood hazard areas and preparation of maps. GIS applications are based on a database and analysis tools which have logical and mathematical relationships between the layers. When creating the flood hazard map, in addition to GIS tools, Hec-RAS was also used as a program intended for the analysis of hydraulic calculations. The results of this paper are of great importance for spatial planning and environmental protection, starting with local communities, municipalities and the entire Canton. Key-words: Spatial analysis, the Bosnia River, Flood risk, GIS, Physical geography","PeriodicalId":45100,"journal":{"name":"Geographia Technica","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2021-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45471879","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Emilbek Zholdoshbekov, Vaibhav Garg, P. Thakur, M. Duishonakunov, M. Voda
: Glaciers are a critical source of freshwater, especially during the lean season. Globally, the glaciers are losing their mass balance rapidly under the influence of climate change. In view of this, the regular study of these glaciers is very vital. However, field-based studies of most of the glaciers is a daunting task. On the contrary, emerging geospatial technology may play an important role in the studies of glaciers. The equilibrium line altitude (ELA) of the glaciers has been considered an essential indicator of climate change. There are numerous methods to delineate the equilibrium line of a glacier; however, each has its own merits and demerits. In the present study, the synthetic aperture radar (SAR) remote sensing-based approach has been used for identifying the ELA of glaciers in the Ala-Archa River catchment of Kyrgyzstan from 2015 – 2019. Initially, the glacier radar zonesweremapped using the Sentinel-1 SAR datasets of each year under consideration. It was found that mainly the middle percolation, lower percolation, and bare-ice zones along with debris cover-ice are present in the glaciers. It was observed that the percolation refreeze zone covers approximately 40%, and the Bare-Ice zone covers 48% of the total area. Considering the boundary of lower percolation and bare-ice zone as ELA, the ELA of each glacier in each year was estimated. The lowest ELA of 3462 m was observed in 2018, whereas the highest (4309 m) was recorded in 2019. It was noticed that the trend of ELA is consistently increased from 3839.25 m in 2015 up to in 3868.29 m 2019. The temporal analysis of glacier radar zone estimation and ELA may help in studying the impact of climate change on glacier retreat and mass balance change. It can be concluded that geospatial techniques can make the glacier change studies possible without field survey. However, to validate the results of the study, field observations are a must.
{"title":"DELINEATION RADAR ZONES OF GLACIERS IN THE ALA-ARCHA VALLEY OF KYRGYZ REPUBLIC","authors":"Emilbek Zholdoshbekov, Vaibhav Garg, P. Thakur, M. Duishonakunov, M. Voda","doi":"10.21163/GT_2021.163.08","DOIUrl":"https://doi.org/10.21163/GT_2021.163.08","url":null,"abstract":": Glaciers are a critical source of freshwater, especially during the lean season. Globally, the glaciers are losing their mass balance rapidly under the influence of climate change. In view of this, the regular study of these glaciers is very vital. However, field-based studies of most of the glaciers is a daunting task. On the contrary, emerging geospatial technology may play an important role in the studies of glaciers. The equilibrium line altitude (ELA) of the glaciers has been considered an essential indicator of climate change. There are numerous methods to delineate the equilibrium line of a glacier; however, each has its own merits and demerits. In the present study, the synthetic aperture radar (SAR) remote sensing-based approach has been used for identifying the ELA of glaciers in the Ala-Archa River catchment of Kyrgyzstan from 2015 – 2019. Initially, the glacier radar zonesweremapped using the Sentinel-1 SAR datasets of each year under consideration. It was found that mainly the middle percolation, lower percolation, and bare-ice zones along with debris cover-ice are present in the glaciers. It was observed that the percolation refreeze zone covers approximately 40%, and the Bare-Ice zone covers 48% of the total area. Considering the boundary of lower percolation and bare-ice zone as ELA, the ELA of each glacier in each year was estimated. The lowest ELA of 3462 m was observed in 2018, whereas the highest (4309 m) was recorded in 2019. It was noticed that the trend of ELA is consistently increased from 3839.25 m in 2015 up to in 3868.29 m 2019. The temporal analysis of glacier radar zone estimation and ELA may help in studying the impact of climate change on glacier retreat and mass balance change. It can be concluded that geospatial techniques can make the glacier change studies possible without field survey. However, to validate the results of the study, field observations are a must.","PeriodicalId":45100,"journal":{"name":"Geographia Technica","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43997627","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nanthawat Jomsrekrayom, Pattanapol Meena, T. Laosuwan
: Drought is one of Thailand’s most common catastrophes and causes a considerable amount of damage, especially to farming, in the northeast of the country. The objective of this study is to analyze vegetation drought variability from a vegetation phenology perspective using the vegetation condition index (VCI( from Terra/MODIS satellite data in the middle of the northeast region of Thailand .The MOD09A1 dataset from Terra/MODIS satellites was analyzed using the normalized difference vegetation index (NDVI(, and the results were analyzed with the VCI to examine vegetation drought variability in July, August, and September 2009–2019. The study found that in August 2013, the drought was most severe and accounted for 47.71% coverage (22,456 .76 km 2 (, and in September 2013, the drought was the least severe at 55.55% coverage (17,456 .42 km 2. ( Moreover, using simple linear regression analysis, the VCI results for each month of the 11-year period were used to find the statistical correlation with rainfall data from ground monitoring stations. It found that July, August, and September showed a coefficient of determination (r 2 (equal to 0.835, 0.834, and 0 .849, respectively . The r 2 value showed that this method was reliable. Furthermore, the analyzed VCI averages can be used as a very good indicator of drought in the middle of the northeast region of Thailand .
{"title":"SPATIOTEMPORAL ANALYSIS OF VEGETATION DROUGHT VARIABILITY IN THE MIDDLE OF THE NORTHEAST REGION OF THAILAND USING TERRA/MODIS SATELLITE DATA","authors":"Nanthawat Jomsrekrayom, Pattanapol Meena, T. Laosuwan","doi":"10.21163/gt_2021.163.06","DOIUrl":"https://doi.org/10.21163/gt_2021.163.06","url":null,"abstract":": Drought is one of Thailand’s most common catastrophes and causes a considerable amount of damage, especially to farming, in the northeast of the country. The objective of this study is to analyze vegetation drought variability from a vegetation phenology perspective using the vegetation condition index (VCI( from Terra/MODIS satellite data in the middle of the northeast region of Thailand .The MOD09A1 dataset from Terra/MODIS satellites was analyzed using the normalized difference vegetation index (NDVI(, and the results were analyzed with the VCI to examine vegetation drought variability in July, August, and September 2009–2019. The study found that in August 2013, the drought was most severe and accounted for 47.71% coverage (22,456 .76 km 2 (, and in September 2013, the drought was the least severe at 55.55% coverage (17,456 .42 km 2. ( Moreover, using simple linear regression analysis, the VCI results for each month of the 11-year period were used to find the statistical correlation with rainfall data from ground monitoring stations. It found that July, August, and September showed a coefficient of determination (r 2 (equal to 0.835, 0.834, and 0 .849, respectively . The r 2 value showed that this method was reliable. Furthermore, the analyzed VCI averages can be used as a very good indicator of drought in the middle of the northeast region of Thailand .","PeriodicalId":45100,"journal":{"name":"Geographia Technica","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44876192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Essia Boudjebieur, L. Ghrieb, A. Maoui, H. Chaffai, Zine Labidine Chini
: The Guelma sub-basin, an integral part of the Middle Seybouse basin, covers a surface area of 818 km 2 , subject to subhumid climate. The main surface water reservoir is the Bouhamdane dam with a regulated volume of 55 hm 3 . The main underground reservoirs are found in the aquifer systems of the Guelma plain, the Bouchegouf plain, the H’lia water table and the Heliopolis karst. To enable the rational use of water resources in the study region, integrated management of these resources remains essential. In this work we used WEAP 21 software (Water Evaluation and Planning), for the modeling of water resources, considering the year 2017 as the reference year for 2020-2050, with a base scenario «water demand”. The results of the simulation show a significant water shortage of around 50.5 hm 3 , marking a scarcity of the resource, noticed from the reference year 2017, because of the unfavorable climatic conditions which significantly impacted the water reserve in the municipalities of the watershed. This shortage will decrease to a volume of 31 hm 3 in 2024, and 104.20 hm 3 in 2050.
{"title":"LONG-TERM WATER DEMAND ASSESSMENT USING WEAP 21: CASE OF THE GUELMA REGION, MIDDLE SEYBOUSE (NORTHEAST ALGERIA)","authors":"Essia Boudjebieur, L. Ghrieb, A. Maoui, H. Chaffai, Zine Labidine Chini","doi":"10.21163/gt_2021.162.06","DOIUrl":"https://doi.org/10.21163/gt_2021.162.06","url":null,"abstract":": The Guelma sub-basin, an integral part of the Middle Seybouse basin, covers a surface area of 818 km 2 , subject to subhumid climate. The main surface water reservoir is the Bouhamdane dam with a regulated volume of 55 hm 3 . The main underground reservoirs are found in the aquifer systems of the Guelma plain, the Bouchegouf plain, the H’lia water table and the Heliopolis karst. To enable the rational use of water resources in the study region, integrated management of these resources remains essential. In this work we used WEAP 21 software (Water Evaluation and Planning), for the modeling of water resources, considering the year 2017 as the reference year for 2020-2050, with a base scenario «water demand”. The results of the simulation show a significant water shortage of around 50.5 hm 3 , marking a scarcity of the resource, noticed from the reference year 2017, because of the unfavorable climatic conditions which significantly impacted the water reserve in the municipalities of the watershed. This shortage will decrease to a volume of 31 hm 3 in 2024, and 104.20 hm 3 in 2050.","PeriodicalId":45100,"journal":{"name":"Geographia Technica","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2021-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49667948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bali Island, well known as The Island of The Gods, is a top tourist destination. In 2017, Agung Volcano eruption causes lots of tourist canceled their visits to Bali due to excessive news about the danger to travel to Bali. This was the first research conducted to analyses impact of volcanic disaster to tourist visits using big data in Bali, Indonesia. This research uses big global database or big data to analyses the impact of web news to tourist visits to Bali due to Agung volcano eruption. Big data is a term that describes the large volume of data, both spatial and non-spatial that inundates the world on a day-today basis. Big data in this research were processed from The Global Database of Events, Language, and Tone (GDELT) Project. GDELT project monitors the world's broadcast, print, and web news from nearly every corner of every country creating a free open platform for computing on the entire world. The purpose of this research is to analyses the impact of Agung Volcano eruption to tourist visits to Bali in 2017. Every news data sets from every country, filtered, calculated and spatially analyzed to discover the timeline and impact of Agung Volcano eruption on tourist visits to Bali in 2017. Geographic Information Systems (GIS) were used for calculation and spatial analysis. The result shows that the number of tourist visits were declining in October and November 2017 but raised again in December. November has the highest number of news related to the eruption. After the eruption in December, the number of tourist visits start to rising due to the operational of the airport. The declining caused by shutdown of Bali airport and travel warning policy from foreign country for their citizen to not to travel to Bali. Even though the number of tourists is declining in October and November, number of tourists visit on the same period in 2017 were higher than 2016. Key-words: Agung Volcano eruption, tourist visits, big data
{"title":"USING BIG GLOBAL DATABASE TO ANALYSE IMPACT OF WEB NEWS TO TOURIST VISITS DUE TO THE 2017 ERUPTION OF AGUNG VOLCANO, BALI, INDONESIA","authors":"P. Wiguna","doi":"10.21163/gt_2021.162.04","DOIUrl":"https://doi.org/10.21163/gt_2021.162.04","url":null,"abstract":"Bali Island, well known as The Island of The Gods, is a top tourist destination. In 2017, Agung Volcano eruption causes lots of tourist canceled their visits to Bali due to excessive news about the danger to travel to Bali. This was the first research conducted to analyses impact of volcanic disaster to tourist visits using big data in Bali, Indonesia. This research uses big global database or big data to analyses the impact of web news to tourist visits to Bali due to Agung volcano eruption. Big data is a term that describes the large volume of data, both spatial and non-spatial that inundates the world on a day-today basis. Big data in this research were processed from The Global Database of Events, Language, and Tone (GDELT) Project. GDELT project monitors the world's broadcast, print, and web news from nearly every corner of every country creating a free open platform for computing on the entire world. The purpose of this research is to analyses the impact of Agung Volcano eruption to tourist visits to Bali in 2017. Every news data sets from every country, filtered, calculated and spatially analyzed to discover the timeline and impact of Agung Volcano eruption on tourist visits to Bali in 2017. Geographic Information Systems (GIS) were used for calculation and spatial analysis. The result shows that the number of tourist visits were declining in October and November 2017 but raised again in December. November has the highest number of news related to the eruption. After the eruption in December, the number of tourist visits start to rising due to the operational of the airport. The declining caused by shutdown of Bali airport and travel warning policy from foreign country for their citizen to not to travel to Bali. Even though the number of tourists is declining in October and November, number of tourists visit on the same period in 2017 were higher than 2016. Key-words: Agung Volcano eruption, tourist visits, big data","PeriodicalId":45100,"journal":{"name":"Geographia Technica","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2021-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41502455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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